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对话言语产生缺陷的病变相关因素。

Lesion correlates of conversational speech production deficits.

作者信息

Borovsky Arielle, Saygin Ayse Pinar, Bates Elizabeth, Dronkers Nina

机构信息

University of California, San Diego, USA.

出版信息

Neuropsychologia. 2007 Jun 18;45(11):2525-33. doi: 10.1016/j.neuropsychologia.2007.03.023. Epub 2007 Mar 31.

Abstract

We assess brain areas involved in speech production using a recently developed lesion-symptom mapping method (voxel-based lesion-symptom mapping, VLSM) with 50 aphasic patients with left-hemisphere lesions. Conversational speech was collected through a standardized biographical interview, and used to determine mean length of utterance in morphemes (MLU), type token ratio (TTR) and overall tokens spoken for each patient. These metrics are used as indicators of grammatical complexity, semantic variation, and amount of speech, respectively. VLSM analysis revealed that damage to the anterior insula was predictive of low scores on MLU and tokens, consistent with prior findings of the role of this region in speech production [Dronkers, N. F. (1996). A new brain region for coordinating speech articulation. Nature, 384(6605), 159-161]. Additionally, the inferior frontal gyrus, sensorimotor and anterior temporal areas were also associated with lower scores on both of these measures. Overall, token and MLU maps were highly similar, suggesting an overlap between grammatical language networks and overall fluency. TTR maps also shared some portions of this network, but damage to posterior temporal regions also reduced scores on this measure. These results represent the first voxel-based lesion analysis of speech production performance in aphasic patients.

摘要

我们使用一种最近开发的病灶-症状映射方法(基于体素的病灶-症状映射,VLSM),对50名左侧半球有病灶的失语症患者进行评估,以确定参与言语产生的脑区。通过标准化的个人经历访谈收集对话言语,并用于确定每位患者语素的平均话语长度(MLU)、类型-标记比(TTR)以及说出的总标记数。这些指标分别用作语法复杂性、语义变化和言语量的指标。VLSM分析显示,岛叶前部受损可预测MLU和标记数得分较低,这与该区域在言语产生中的作用的先前研究结果一致[德龙克斯,N.F.(1996年)。一个协调言语发音的新脑区。《自然》,384(6605),159-161]。此外,额下回、感觉运动区和颞前区在这两项指标上得分也较低。总体而言,标记数和MLU图谱高度相似,表明语法语言网络和整体流畅性之间存在重叠。TTR图谱也共享了该网络的一些部分,但颞叶后部受损也会降低该指标的得分。这些结果代表了对失语症患者言语产生表现进行的首次基于体素的病灶分析。

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